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URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/7

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2022 - 20243

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Assunto: search.filters.subject.Lógica fuzzy

Resultados da Pesquisa

Agora exibindo 1 - 3 de 3
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    Aplicação da lógica fuzzy na definição da resistência à compressão de caixas de papéis ondulados
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) LIMA, Vagner Rodrigues; LIMA, Moysés Mendes de
    The study presents the application of fuzzy logic in classifying the compression resistance of corrugated cardboard boxes. The research aims to provide a quick and accurate classification of box strength (inadequate, good, adequate) using simulations based on essential parameters such as the McKee formula and static stacking. The project's innovation lies in applying fuzzy logic to interpret imprecise data, optimizing the packaging development process and reducing logistical costs.
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    Ferramenta de lógica fuzzy aplicada na análise ergonômica de trabalho na indústria automobilística para tomada de decisão
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-11-12) PINTO, Leandro Soares; LEITE, Jandecy Cabral
    This study proposes the application of a fuzzy logic tool for ergonomic work analysis in an automotive industry, focusing on decision-making. The methodology aims to improve working conditions and reduce the risk of occupational injuries by applying artificial intelligence techniques to evaluate ergonomic factors at workstations. The developed fuzzy system considers variables such as effort level, effort time, and the number of efforts per minute, providing a detailed analysis that helps identify risks and implement ergonomic improvements.
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    Implementação do sistema de inferência fuzzy para suporte à avaliação do esfigmomanômetro visando atender às atividades de fiscalização fluvial na área da metrologia legal, científica e conformidades
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-05-12) BRITO, Marcio André de Oliveira; LEITE, Jandecy Cabral; Nascimento, Manoel Henrique Reis
    This study proposes the implementation of a fuzzy inference system to evaluate sphygmomanometers used in river inspection activities in the Amazon region. Fuzzy logic, applied to handle uncertainties and inaccuracies, allows for a robust and adaptable analysis under the variable conditions of the river environment. The system aims to ensure the accuracy of sphygmomanometers, which are crucial for healthcare and for ensuring fairness in commercial transactions that rely on precise measurements. The research covers the system's development, testing, and validation, highlighting its importance for legal and scientific metrology in the region.